code: def update_equal_gap_diff_sizes_diff_gap_between(
      prev: int = 0, gap: int = 1, max_step=100
  ):
      data: analyses.SeriesModel = analyses.series.Series().to_data()
      while prev <= max_step:
          size = randint(1, 9)
          last = prev + size
  
          step = [*range(prev, last, gap)]
          value = random(len(step)).tolist()
  
          prev = last
  
          s = analyses.series.Series().load(data)
          s.update(step, value)
  
          data = s.to_data()
  
      print(data["step"].tolist())
  
file_path: labml/app/server/unit_tests/series.py
imports: from labml import monit
  from numpy.random import random, randint
  from labml_app.db import analyses
label_desc: Use image node_id 5 for calling a global function with example usage: update_equal_gap_diff_sizes_diff_gap_between(prev, gap, max_step) without return types